Spatiotemporal Pattern of Urban-Rural Integration Development and Its Driving Mechanism Analysis in Hangzhou Bay Urban Agglomeration

Caiyao Xu, Chen Qian, Wencai Yang, Bowei Li, Lingqian Kong and Fanbin Kong
Additional contact information
Caiyao Xu: Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China
Chen Qian: College of Economics and Management, Zhejiang A&F University, Hangzhou 311300, China
Wencai Yang: College of Economics and Management, Zhejiang A&F University, Hangzhou 311300, China
Bowei Li: Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China
Lingqian Kong: Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China
Fanbin Kong: Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China

IJERPH, 2022, vol. 19, issue 14, 1-21

Abstract: The quantitative analysis of the urban-rural integration development (URID) level and its driving factors is of great significance for the new-type urbanization of urban agglomerations. This study constructed a multidimensional framework in the perspective of a population–space–economy–society–ecology framework to measure the URID level from 2000 to 2020 and further explored the driving mechanism of the URID changes by a geographical detector model in the Hangzhou Bay urban agglomeration (HBUA). The results showed that the land-use change in the HBUA from 2000 to 2020 showed a typical characteristic of the transition between cultivated and construction land. The URID level in the HBUA improved from 0.294 in 2000 to 0.563 in 2020, and the year 2005 may have been the inflection point of URID in the HBUA. The URID level showed a significant spatial aggregation with high values. Hangzhou, Jiaxing, and Ningbo were hot spots since 2015, and the cold spots were Huzhou and Shaoxing. The population and spatial integration had more important impacts on URID levels in 2000, 2005, and 2020, while economic and social integration had more significant impacts on URID levels in 2010 and 2015. This study provided a deeper understanding of the evolution of URID in an urban agglomeration and could be used as a reference for decision makers.

Keywords: urbanization; urban agglomeration; geographical detector model; Hangzhou Bay (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/14/8390/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/14/8390/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:14:p:8390-:d:859081

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().